Lead, Engineer

Required Qualifications

• A builder/tinkerer first: You have shipped at least one production LLM-powered product end-to-end and have strong opinions about what makes these systems reliable, safe, and actually useful. You are most at home writing code, reading design docs, and debugging, and you have taken on people management because you have found it multiplies what a small team can ship.
• 6–12 years of hands-on software engineering experience with a proven track record of shipping production systems end-to-end, ideally including at least one large project where you owned the architecture, the delivery plan, and the team running it.
• Hands-on experience building with LLMs: prompt design, RAG pipelines, agent frameworks, MCPs, and evals. You know how to instrument these systems for quality and post-deployment optimization. AI tools are also native to how you work now.
• Strong backend engineering skills in Python (our primary backend language), JavaScript or similar, including API design, data modeling, and query optimization on relational databases.
• Comfort working across the stack when needed, with enough familiarity with frontend, mobile, or data pipelines to make sound architectural decisions in a small team.
• Working knowledge of cloud platforms such as Google Cloud or AWS, with experience deploying, monitoring, and operating production services.
• Strong communication across formats. You document decisions, write clear and simple ERDs, and use writing to align teams rather than relying on meetings.
• Comfortable with ambiguity, capable of making decisions with incomplete information, and willing to revisit decisions as facts change.
• A Bachelor’s or Master’s degree in a related field or equivalent practical experience.